{"id":"W4232009201","doi":"10.1093/humrep/des464","title":"Estimating the prevalence of infertility in Canada","year":2013,"lang":"en","type":"article","venue":"Human Reproduction","topic":"Reproductive Biology and Fertility","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Infertility; Medicine; Gynecology; Obstetrics; Demography; Biology; Pregnancy; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005403758,0.00006260077,0.0001334871,0.00002287495,0.00005886078,0.000002190316,0.00006216147,0.00002710263,0.0002284061],"category_scores_gemma":[0.0006579683,0.00004127437,0.00002199281,0.0001105924,0.0001270203,0.00005766464,0.00002476202,0.000159049,0.000004770088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001438372,"about_ca_system_score_gemma":0.000194748,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5766424,"about_ca_topic_score_gemma":0.09822491,"domain_scores_codex":[0.9990609,0.00008253608,0.000271036,0.0003660014,0.0001099037,0.000109593],"domain_scores_gemma":[0.9989695,0.00002063677,0.00009131599,0.0007528599,0.0001443535,0.00002134622],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006788735,0.00005105916,0.9760365,0.0002525437,0.000008061608,5.643454e-7,0.0001626899,0.00004039888,0.0181556,0.00001760509,0.0001949464,0.005012174],"study_design_scores_gemma":[0.0001107205,0.0000385818,0.9882807,0.00002724908,0.00001210655,0.00001164049,0.00005235604,0.0001398094,0.01045115,0.0008037559,0.00003752733,0.00003440081],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975669,0.0003103414,0.00001570206,0.0008703384,0.0002172162,0.0004943951,7.24014e-7,0.00001192942,0.0005124239],"genre_scores_gemma":[0.9991809,0.00000251393,0.0001624483,0.00003492133,0.0001455983,0.00003686846,0.00000234729,0.000003439155,0.000430934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4784175,"threshold_uncertainty_score":0.9182301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02969373811404524,"score_gpt":0.2813140798264243,"score_spread":0.251620341712379,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}